- Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
- Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
- Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
- Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection
- Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource
- Characterization of Potential Drug Treatments for COVID-19 using Twitter
- Constructing Co-occurrence Network Embeddings to Assist Association Extraction for COVID-19 and Other Coronavirus Infectious Diseases
- CORD-19: The Covid-19 Open Research Dataset
- Mapping the Landscape of Artificial Intelligence Applications against COVID-19
- English dictionaries, gold and silver standard corpora for biomedical natural language processing related to SARS-CoV-2 and COVID-19
- Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP
- Getting Insights from a Large Corpus of Scientific Papers on Specialisted Comprehensive Topics -- the Case of COVID-19
- CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research
- COVID-19Base: A knowledgebase to explore biomedical entities related to COVID-19
- COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter
- Identifying Radiological Findings Related to COVID-19 from Medical Literature
- The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time
- Coronavirus Geographic Dissemination at Chicago and its Potential Proximity to Public Commuter Rail
- CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using a Non-Expert Crowd
- What are We Depressed about When We Talk about COVID19: Mental Health Analysis on Tweets Using Natural Language Processing
- Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study
- On the crucial role of multilingual biomedical databases on epidemic events (SARS-CoV-2 analysis).
- Predicting COVID-19 in China Using Hybrid AI Model.
- Coronaviruses and people with intellectual disability: an exploratory data analysis.
- TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19.
- Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
Featured publications
-
TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19.
Full Text PMID: 32365190 May 5, 2020 Roberts, Kirk; Alam, Tasmeer; Bedrick, Steven; Demner-Fushman, Dina; Lo, Kyle; Soboroff, Ian; Voorhees, Ellen; Wang, Lucy Lu; Hersh, William R TREC-COVID is an information retrieval (IR) shared task initiated to support clinicians and clinical research during the...
-
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter
Full Text [Submitted on 15 May 2020] Martin Müller, Marcel Salathé, Per E Kummervold In this work, we release COVID-Twitter-BERT (CT-BERT), a transformer-based model, pretrained on a large corpus of Twitter messages on the topic of COVID-19. Our model shows a 10-30% marginal improvement compared to its base...